Physical AI, robots, and autonomous systems
![[2601.07855] RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2601.07855: RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
Abstract page for arXiv paper 2502.00262: INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Ha...
Abstract page for arXiv paper 2508.00500: ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
This paper explores sample-efficient generalized planning through learned transition models, demonstrating improved performance over trad...
This article presents a theoretical analysis of multi-agent imitation learning (MAIL) in linear Markov games, introducing a novel interac...
This article explores how autonomous AI agents can form tribal behaviors similar to those depicted in 'Lord of the Flies', leading to ine...
The paper introduces AMA-Bench, a new benchmark for evaluating long-horizon memory in Large Language Models (LLMs) for agentic applicatio...
This paper presents an agentic AI framework for optimizing intent-driven operations in cell-free O-RAN, enhancing collaboration among age...
The paper presents Contrastive World Models (CWM) for enhancing action feasibility learning in embodied agents, improving action scoring ...
The paper proposes autonomous memory agents that enhance LLMs by actively acquiring and curating knowledge, improving performance on benc...
This paper explores the potential of AI agents to replace or augment social scientists by introducing the concept of 'vibe researching,' ...
The paper presents Agent Behavioral Contracts (ABC), a framework for specifying and enforcing the behavior of autonomous AI agents, addre...
Dosidicus is a digital pet squid that serves as a cognitive sandbox, allowing users to build and visualize neural networks while learning...
Anthropic has rejected the Pentagon's ultimatum for unrestricted access to its AI, maintaining its stance against lethal autonomous weapo...
Niantic is leveraging spatial intelligence to enhance industrial applications, focusing on integrating augmented reality with real-world ...
The article discusses the transition from Industry 4.0 to Industry 5.0, emphasizing the need for human-centric approaches and collaborati...
Google has integrated its AI robotics project, Intrinsic, into the company, aiming to enhance physical AI capabilities and streamline rob...
Jensen Huang highlights the arrival of a 'ChatGPT moment' for robotics, signaling transformative advancements in physical AI. The article...
The article discusses Mobile-MCP, a framework allowing LLMs to autonomously discover Android app capabilities without pre-coordination, e...
This article presents a novel approach to likelihood-free inference (LFI) in robotics, addressing the issue of potentially misspecified d...
This paper examines the effectiveness of visual navigation policies trained in simulation versus those trained with real-world data, high...
This article presents a novel framework for adapting object-centric agents in manipulating deformable linear objects using visual percept...
This paper presents a novel approach to model predictive control (MPC) for uncertain nonlinear systems using a neural state-space model a...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime